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Artificial Intelligence Management
Description: After completing the course, participants will be able to demonstrate the following competences:
  • Establish and maintain an AI management system aligned with ISO/IEC 42001,
  • Coordinate roles, responsibilities, and communication processes in AI governance,
  • Identify, assess, and manage AI-specific risks across system lifecycle,
  • Apply and document control measures supporting ethical and compliant AI,
  • Contribute to the continuous improvement and monitoring of AI systems in line with stakeholder expectations and regulatory obligations.
Previous skills/knowledge: Participants are expected to have the following basic knowledge:
  • Basic understanding of artificial intelligence concepts and terminology,
  • Familiarity with information security and risk management frameworks,
  • Awareness of legal, organizational, and ethical considerations related to emerging technologies.
Authorized Partners:

Teaching requirements: Trainers should meet the following requirements:
  • Subject Matter Expertise: Deep understanding of AI governance, ISO/IEC 42001:2023, ISO/IEC 23894:2023, EU AI Act, and emerging regulatory frameworks.
  • Certifications: Recommended credentials include ISO/IEC 27001 Lead Implementer or equivalent in data ethics, AI lifecycle management, or risk management in digital technologies.
  • Training & Practical Experience: At least 2–3 years of experience in developing, auditing, or governing AI systems, with familiarity in ethical, legal, and organizational aspects of AI deployment.
Objectives to achieve: The course aims to achieve the following objectives:

  • Understand the principles and structure of AI management systems based on ISO/IEC 42001,
  • Identify risks, responsibilities, and governance mechanisms required for trustworthy AI,
  • Learn how to define AI policies, manage stakeholders, and align AI systems with legal and ethical requirements,
  • Gain the ability to apply structured documentation, risk treatment, and continuous improvement processes within AI systems,
  • Enable participants to support their organizations in achieving regulatory readiness and accountability in AI deployment.
 

Authorized Partners: